KLASIFIKASI MALWARE TROJAN HORSE MENGGUNAKAN METODE LONG SHORT TERM MEMORY (LSTM)

RAMADHANIL, MUHAMMAD and Stiawan, Deris and Afifah, Nurul (2024) KLASIFIKASI MALWARE TROJAN HORSE MENGGUNAKAN METODE LONG SHORT TERM MEMORY (LSTM). Undergraduate thesis, Sriwijaya University.

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Abstract

Trojan horse is a cyber attack that is carried out by disguising or infiltrating a system through programs or files that appear normal and harmless. Trojan horses can gain unauthorized access into computer systems allowing hackers to carry out various types of attacks and steal users' personal information by taking control of the system remotely. In addition, advances in cyber attack technology and techniques continue to expand the functionality and capabilities of Trojans, making them increasingly difficult to detect and defeat. Therefore, this study proposes to use the Long Short-Term Memory (LSTM) method which is an artificial intelligence technology part of neural networks that has become an effective and sophisticated approach in dealing with cyber threats that continue to grow, especially in trojan horses. This study uses a dataset of 31,265 from CIC-MalMem- 2022. The results show that the LSTM model is able to achieve an accuracy of 99%. These results identify that the LSTM model has reliable performance in performing classification. Keywords: Long Short-Term Memory (LSTM), Trojan Horse, Resampling Data

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kata Kunci: Long Short-Term Memory (LSTM), Trojan Horse, Resampling Data
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Ramadhanil
Date Deposited:	20 Jan 2025 07:27
Last Modified:	20 Jan 2025 07:27
URI:	http://repository.unsri.ac.id/id/eprint/165873

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